Dataset statistics
| Number of variables | 27 |
|---|---|
| Number of observations | 266093 |
| Missing cells | 582597 |
| Missing cells (%) | 8.1% |
| Duplicate rows | 2400 |
| Duplicate rows (%) | 0.9% |
| Total size in memory | 54.8 MiB |
| Average record size in memory | 216.0 B |
Variable types
| CAT | 12 |
|---|---|
| NUM | 10 |
| DATE | 4 |
| BOOL | 1 |
MANDT has constant value "266093" | Constant |
MWST2 has constant value "266093" | Constant |
| Dataset has 2400 (0.9%) duplicate rows | Duplicates |
KNA1_ORT01 has a high cardinality: 3311 distinct values | High cardinality |
T003T_LTEXT is highly correlated with BLART | High correlation |
BLART is highly correlated with T003T_LTEXT | High correlation |
MANSP has 258474 (97.1%) missing values | Missing |
CTLPC has 112180 (42.2%) missing values | Missing |
HISTORICRATING has 105971 (39.8%) missing values | Missing |
CURRENTRATING has 105972 (39.8%) missing values | Missing |
VALUE_EUR is highly skewed (γ1 = 82.8805719) | Skewed |
MWSTS is highly skewed (γ1 = 61.68251871) | Skewed |
BUKRS has 40009 (15.0%) zeros | Zeros |
VALUE_EUR has 5268 (2.0%) zeros | Zeros |
MWSTS has 260868 (98.0%) zeros | Zeros |
Reproduction
| Analysis started | 2021-03-22 18:24:28.228395 |
|---|---|
| Analysis finished | 2021-03-22 18:25:25.563956 |
| Duration | 57.34 seconds |
| Software version | pandas-profiling v2.9.0 |
| Download configuration | config.yaml |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| 310 |
|---|
| Value | Count | Frequency (%) | |
| 310 | 266093 | 100.0% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
| Distinct | 6 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.049046762 |
|---|---|
| Minimum | 0 |
| Maximum | 5 |
| Zeros | 40009 |
| Zeros (%) | 15.0% |
| Memory size | 2.0 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 3 |
| Q3 | 5 |
| 95-th percentile | 5 |
| Maximum | 5 |
| Range | 5 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 1.841818731 |
|---|---|
| Coefficient of variation (CV) | 0.6040637862 |
| Kurtosis | -1.219418673 |
| Mean | 3.049046762 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | -0.4498366675 |
| Sum | 811330 |
| Variance | 3.392296239 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) | |
| 5 | 91623 | 34.4% | |
| 3 | 66526 | 25.0% | |
| 0 | 40009 | 15.0% | |
| 1 | 36265 | 13.6% | |
| 4 | 27016 | 10.2% | |
| 2 | 4654 | 1.7% |
| Value | Count | Frequency (%) | |
| 0 | 40009 | 15.0% | |
| 1 | 36265 | 13.6% | |
| 2 | 4654 | 1.7% | |
| 3 | 66526 | 25.0% | |
| 4 | 27016 | 10.2% |
| Value | Count | Frequency (%) | |
| 5 | 91623 | 34.4% | |
| 4 | 27016 | 10.2% | |
| 3 | 66526 | 25.0% | |
| 2 | 4654 | 1.7% | |
| 1 | 36265 | 13.6% |
GJAHR
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| 2018 | |
|---|---|
| 2019 |
| Value | Count | Frequency (%) | |
| 2018 | 173519 | 65.2% | |
| 2019 | 92574 | 34.8% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
HKONT
Real number (ℝ≥0)
| Distinct | 14 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.939735356 |
|---|---|
| Minimum | 0 |
| Maximum | 13 |
| Zeros | 17 |
| Zeros (%) | < 0.1% |
| Memory size | 2.0 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 5 |
| median | 5 |
| Q3 | 5 |
| 95-th percentile | 11 |
| Maximum | 13 |
| Range | 13 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 2.712329671 |
|---|---|
| Coefficient of variation (CV) | 0.5490840046 |
| Kurtosis | 2.10047292 |
| Mean | 4.939735356 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.063818812 |
| Sum | 1314429 |
| Variance | 7.356732244 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=14)
| Value | Count | Frequency (%) | |
| 5 | 186617 | 70.1% | |
| 1 | 47441 | 17.8% | |
| 11 | 13042 | 4.9% | |
| 13 | 9940 | 3.7% | |
| 10 | 2488 | 0.9% | |
| 7 | 1924 | 0.7% | |
| 4 | 1885 | 0.7% | |
| 6 | 1341 | 0.5% | |
| 3 | 1007 | 0.4% | |
| 12 | 308 | 0.1% | |
| Other values (4) | 100 | < 0.1% |
| Value | Count | Frequency (%) | |
| 0 | 17 | < 0.1% | |
| 1 | 47441 | 17.8% | |
| 2 | 25 | < 0.1% | |
| 3 | 1007 | 0.4% | |
| 4 | 1885 | 0.7% |
| Value | Count | Frequency (%) | |
| 13 | 9940 | 3.7% | |
| 12 | 308 | 0.1% | |
| 11 | 13042 | 4.9% | |
| 10 | 2488 | 0.9% | |
| 9 | 56 | < 0.1% |
KUNNR
Real number (ℝ≥0)
| Distinct | 23067 |
|---|---|
| Distinct (%) | 8.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9589.260105 |
|---|---|
| Minimum | 0 |
| Maximum | 23823 |
| Zeros | 2 |
| Zeros (%) | < 0.1% |
| Memory size | 2.0 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 788 |
| Q1 | 4008 |
| median | 9103 |
| Q3 | 15359 |
| 95-th percentile | 20530 |
| Maximum | 23823 |
| Range | 23823 |
| Interquartile range (IQR) | 11351 |
Descriptive statistics
| Standard deviation | 6401.648935 |
|---|---|
| Coefficient of variation (CV) | 0.6675852845 |
| Kurtosis | -1.000644112 |
| Mean | 9589.260105 |
| Median Absolute Deviation (MAD) | 5500 |
| Skewness | 0.3799429382 |
| Sum | 2551634989 |
| Variance | 40981109.09 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 17812 | 2654 | 1.0% | |
| 2060 | 2450 | 0.9% | |
| 1981 | 2093 | 0.8% | |
| 5186 | 1873 | 0.7% | |
| 1989 | 1798 | 0.7% | |
| 9200 | 1770 | 0.7% | |
| 6376 | 1591 | 0.6% | |
| 20333 | 1584 | 0.6% | |
| 9197 | 1438 | 0.5% | |
| 2728 | 1380 | 0.5% | |
| Other values (23057) | 247462 | 93.0% |
| Value | Count | Frequency (%) | |
| 0 | 2 | < 0.1% | |
| 1 | 2 | < 0.1% | |
| 2 | 2 | < 0.1% | |
| 3 | 2 | < 0.1% | |
| 4 | 24 | < 0.1% |
| Value | Count | Frequency (%) | |
| 23823 | 1 | < 0.1% | |
| 23822 | 65 | < 0.1% | |
| 23821 | 18 | < 0.1% | |
| 23820 | 21 | < 0.1% | |
| 23819 | 7 | < 0.1% |
PRCTR
Real number (ℝ≥0)
| Distinct | 226 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 91.10296776 |
|---|---|
| Minimum | 0 |
| Maximum | 229 |
| Zeros | 63 |
| Zeros (%) | < 0.1% |
| Memory size | 2.0 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 30 |
| median | 80 |
| Q3 | 142 |
| 95-th percentile | 220 |
| Maximum | 229 |
| Range | 229 |
| Interquartile range (IQR) | 112 |
Descriptive statistics
| Standard deviation | 75.24369804 |
|---|---|
| Coefficient of variation (CV) | 0.8259192855 |
| Kurtosis | -1.066248709 |
| Mean | 91.10296776 |
| Median Absolute Deviation (MAD) | 62 |
| Skewness | 0.4801276873 |
| Sum | 24241862 |
| Variance | 5661.614095 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 142 | 34943 | 13.1% | |
| 1 | 22479 | 8.4% | |
| 7 | 18369 | 6.9% | |
| 220 | 11478 | 4.3% | |
| 30 | 10614 | 4.0% | |
| 219 | 10368 | 3.9% | |
| 4 | 8489 | 3.2% | |
| 34 | 7475 | 2.8% | |
| 45 | 6806 | 2.6% | |
| 229 | 5903 | 2.2% | |
| Other values (216) | 129169 | 48.5% |
| Value | Count | Frequency (%) | |
| 0 | 63 | < 0.1% | |
| 1 | 22479 | 8.4% | |
| 2 | 1 | < 0.1% | |
| 3 | 1 | < 0.1% | |
| 4 | 8489 | 3.2% |
| Value | Count | Frequency (%) | |
| 229 | 5903 | 2.2% | |
| 228 | 26 | < 0.1% | |
| 227 | 24 | < 0.1% | |
| 226 | 423 | 0.2% | |
| 225 | 532 | 0.2% |
KNA1_LAND1
Categorical
| Distinct | 50 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| SE | |
|---|---|
| NL | |
| DK | |
| GB | |
| NO | |
| Other values (45) | 8189 |
| Value | Count | Frequency (%) | |
| SE | 90751 | 34.1% | |
| NL | 66353 | 24.9% | |
| DK | 39385 | 14.8% | |
| GB | 34317 | 12.9% | |
| NO | 27098 | 10.2% | |
| IE | 6320 | 2.4% | |
| FI | 505 | 0.2% | |
| FO | 214 | 0.1% | |
| BE | 160 | 0.1% | |
| GL | 145 | 0.1% | |
| Other values (40) | 845 | 0.3% |
Frequencies of value counts
Unique
| Unique | 4 ? |
|---|---|
| Unique (%) | < 0.1% |
Histogram of lengths of the category
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
| Distinct | 3311 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| OSLO | 9459 |
|---|---|
| Stockholm | 6216 |
| ROTTERDAM | 4933 |
| Uppsala | 3849 |
| Göteborg | 3234 |
| Other values (3306) |
| Value | Count | Frequency (%) | |
| OSLO | 9459 | 3.6% | |
| Stockholm | 6216 | 2.3% | |
| ROTTERDAM | 4933 | 1.9% | |
| Uppsala | 3849 | 1.4% | |
| Göteborg | 3234 | 1.2% | |
| Jönköping | 3210 | 1.2% | |
| Hallsberg | 3125 | 1.2% | |
| AMSTERDAM | 2752 | 1.0% | |
| Eastleigh | 2690 | 1.0% | |
| Altrincham | 2655 | 1.0% | |
| Other values (3301) | 223970 | 84.2% |
Frequencies of value counts
Unique
| Unique | 303 ? |
|---|---|
| Unique (%) | 0.1% |
Histogram of lengths of the category
Length
| Max length | 26 |
|---|---|
| Median length | 8 |
| Mean length | 7.997876682 |
| Min length | 2 |
ZTERM
Real number (ℝ)
| Distinct | 150 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 55.72431443 |
|---|---|
| Minimum | -1 |
| Maximum | 154 |
| Zeros | 91 |
| Zeros (%) | < 0.1% |
| Memory size | 2.0 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | 29 |
| Q1 | 29 |
| median | 33 |
| Q3 | 89 |
| 95-th percentile | 116 |
| Maximum | 154 |
| Range | 155 |
| Interquartile range (IQR) | 60 |
Descriptive statistics
| Standard deviation | 32.09569818 |
|---|---|
| Coefficient of variation (CV) | 0.5759729574 |
| Kurtosis | -1.145431392 |
| Mean | 55.72431443 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0.6085237167 |
| Sum | 14827850 |
| Variance | 1030.133842 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 29 | 111656 | 42.0% | |
| 61 | 30835 | 11.6% | |
| 101 | 18808 | 7.1% | |
| 97 | 14584 | 5.5% | |
| 33 | 14525 | 5.5% | |
| 116 | 12886 | 4.8% | |
| 69 | 7953 | 3.0% | |
| 89 | 7245 | 2.7% | |
| 100 | 6706 | 2.5% | |
| 35 | 4108 | 1.5% | |
| Other values (140) | 36787 | 13.8% |
| Value | Count | Frequency (%) | |
| -1 | 113 | < 0.1% | |
| 0 | 91 | < 0.1% | |
| 1 | 5 | < 0.1% | |
| 2 | 242 | 0.1% | |
| 3 | 6 | < 0.1% |
| Value | Count | Frequency (%) | |
| 154 | 1 | < 0.1% | |
| 153 | 1 | < 0.1% | |
| 152 | 2 | < 0.1% | |
| 151 | 2 | < 0.1% | |
| 150 | 2 | < 0.1% |
DUE_DATE_SOURCE
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| ZBD1T | |
|---|---|
| ZFBDT | |
| ZBD2T | 12490 |
| ZBD3T | 242 |
| Value | Count | Frequency (%) | |
| ZBD1T | 222594 | 83.7% | |
| ZFBDT | 30767 | 11.6% | |
| ZBD2T | 12490 | 4.7% | |
| ZBD3T | 242 | 0.1% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 5 |
| Distinct | 4659 |
|---|---|
| Distinct (%) | 1.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 193.2596611 |
|---|---|
| Minimum | 0 |
| Maximum | 301241 |
| Zeros | 5268 |
| Zeros (%) | 2.0% |
| Memory size | 2.0 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 10 |
| median | 33 |
| Q3 | 100 |
| 95-th percentile | 652 |
| Maximum | 301241 |
| Range | 301241 |
| Interquartile range (IQR) | 90 |
Descriptive statistics
| Standard deviation | 1473.405854 |
|---|---|
| Coefficient of variation (CV) | 7.623969978 |
| Kurtosis | 12607.00684 |
| Mean | 193.2596611 |
| Median Absolute Deviation (MAD) | 28 |
| Skewness | 82.8805719 |
| Sum | 51425043 |
| Variance | 2170924.811 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 1 | 9145 | 3.4% | |
| 2 | 8052 | 3.0% | |
| 3 | 7477 | 2.8% | |
| 4 | 6675 | 2.5% | |
| 5 | 6263 | 2.4% | |
| 6 | 5692 | 2.1% | |
| 7 | 5539 | 2.1% | |
| 0 | 5268 | 2.0% | |
| 8 | 5087 | 1.9% | |
| 9 | 4808 | 1.8% | |
| Other values (4649) | 202087 | 75.9% |
| Value | Count | Frequency (%) | |
| 0 | 5268 | 2.0% | |
| 1 | 9145 | 3.4% | |
| 2 | 8052 | 3.0% | |
| 3 | 7477 | 2.8% | |
| 4 | 6675 | 2.5% |
| Value | Count | Frequency (%) | |
| 301241 | 1 | < 0.1% | |
| 267513 | 1 | < 0.1% | |
| 161821 | 1 | < 0.1% | |
| 158810 | 1 | < 0.1% | |
| 130076 | 1 | < 0.1% |
| Distinct | 2401 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 552.4894037 |
|---|---|
| Minimum | 0 |
| Maximum | 1750000 |
| Zeros | 260868 |
| Zeros (%) | 98.0% |
| Memory size | 2.0 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 1750000 |
| Range | 1750000 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 12380.04842 |
|---|---|
| Coefficient of variation (CV) | 22.40775721 |
| Kurtosis | 5169.13418 |
| Mean | 552.4894037 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 61.68251871 |
| Sum | 147013562.9 |
| Variance | 153265598.9 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0 | 260868 | 98.0% | |
| 25000 | 128 | < 0.1% | |
| 12500 | 105 | < 0.1% | |
| 37500 | 89 | < 0.1% | |
| 50000 | 62 | < 0.1% | |
| 18750 | 57 | < 0.1% | |
| 10000 | 47 | < 0.1% | |
| 15000 | 45 | < 0.1% | |
| 11250 | 43 | < 0.1% | |
| 6250 | 38 | < 0.1% | |
| Other values (2391) | 4611 | 1.7% |
| Value | Count | Frequency (%) | |
| 0 | 260868 | 98.0% | |
| 1 | 2 | < 0.1% | |
| 1.05 | 2 | < 0.1% | |
| 1.89 | 2 | < 0.1% | |
| 2.31 | 2 | < 0.1% |
| Value | Count | Frequency (%) | |
| 1750000 | 1 | < 0.1% | |
| 1340014.5 | 1 | < 0.1% | |
| 1197549.75 | 1 | < 0.1% | |
| 1156103.75 | 1 | < 0.1% | |
| 1104242.75 | 1 | < 0.1% |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| 0 |
|---|
| Value | Count | Frequency (%) | |
| 0 | 266093 | 100.0% |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| RV | |
|---|---|
| ZF | 2512 |
| ZA | 1838 |
| Value | Count | Frequency (%) | |
| RV | 261743 | 98.4% | |
| ZF | 2512 | 0.9% | |
| ZA | 1838 | 0.7% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| Billing doc.transfer | |
|---|---|
| Partial Bill. SD | 2512 |
| Down paym. req. SD | 1838 |
| Value | Count | Frequency (%) | |
| Billing doc.transfer | 261743 | 98.4% | |
| Partial Bill. SD | 2512 | 0.9% | |
| Down paym. req. SD | 1838 | 0.7% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 20 |
|---|---|
| Median length | 20 |
| Mean length | 19.94842405 |
| Min length | 16 |
TBSLT_LTEXT
Categorical
| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| Invoice | |
|---|---|
| Credit memo | 10560 |
| Payment difference | 5700 |
| Down payment request | 1838 |
| advances Third Party | 64 |
| Other values (3) | 56 |
| Value | Count | Frequency (%) | |
| Invoice | 247875 | 93.2% | |
| Credit memo | 10560 | 4.0% | |
| Payment difference | 5700 | 2.1% | |
| Down payment request | 1838 | 0.7% | |
| advances Third Party | 64 | < 0.1% | |
| Reverse invoice | 44 | < 0.1% | |
| Incoming payment | 6 | < 0.1% | |
| Reverse credit memo | 6 | < 0.1% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 20 |
|---|---|
| Median length | 7 |
| Mean length | 7.48909216 |
| Min length | 7 |
| Distinct | 11 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 258474 |
| Missing (%) | 97.1% |
| Memory size | 2.0 MiB |
| H | |
|---|---|
| A | |
| 2 | |
| 7 | 470 |
| 1 | 466 |
| Other values (6) | 218 |
| Value | Count | Frequency (%) | |
| H | 4788 | 1.8% | |
| A | 1067 | 0.4% | |
| 2 | 610 | 0.2% | |
| 7 | 470 | 0.2% | |
| 1 | 466 | 0.2% | |
| G | 90 | < 0.1% | |
| 6 | 60 | < 0.1% | |
| 8 | 28 | < 0.1% | |
| 3 | 23 | < 0.1% | |
| 5 | 11 | < 0.1% | |
| (Missing) | 258474 | 97.1% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 2.942734307 |
| Min length | 1 |
| Distinct | 9 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 112180 |
| Missing (%) | 42.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.362191628 |
|---|---|
| Minimum | 0 |
| Maximum | 10 |
| Zeros | 957 |
| Zeros (%) | 0.4% |
| Memory size | 2.0 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 2 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 3 |
| Maximum | 10 |
| Range | 10 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 0.6722468341 |
|---|---|
| Coefficient of variation (CV) | 0.2845860709 |
| Kurtosis | 24.00671249 |
| Mean | 2.362191628 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 2.753259507 |
| Sum | 363572 |
| Variance | 0.4519158059 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) | |
| 2 | 104205 | 39.2% | |
| 3 | 41268 | 15.5% | |
| 4 | 7120 | 2.7% | |
| 0 | 957 | 0.4% | |
| 10 | 166 | 0.1% | |
| 9 | 83 | < 0.1% | |
| 1 | 48 | < 0.1% | |
| 5 | 35 | < 0.1% | |
| 8 | 31 | < 0.1% | |
| (Missing) | 112180 | 42.2% |
| Value | Count | Frequency (%) | |
| 0 | 957 | 0.4% | |
| 1 | 48 | < 0.1% | |
| 2 | 104205 | 39.2% | |
| 3 | 41268 | 15.5% | |
| 4 | 7120 | 2.7% |
| Value | Count | Frequency (%) | |
| 10 | 166 | 0.1% | |
| 9 | 83 | < 0.1% | |
| 8 | 31 | < 0.1% | |
| 5 | 35 | < 0.1% | |
| 4 | 7120 | 2.7% |
| Distinct | 20 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 105971 |
| Missing (%) | 39.8% |
| Memory size | 2.0 MiB |
| R5+ | |
|---|---|
| R5- | |
| R7+ | |
| R3+ | |
| R4- | |
| Other values (15) |
| Value | Count | Frequency (%) | |
| R5+ | 39647 | 14.9% | |
| R5- | 30240 | 11.4% | |
| R7+ | 24760 | 9.3% | |
| R3+ | 18878 | 7.1% | |
| R4- | 13140 | 4.9% | |
| R6- | 11107 | 4.2% | |
| R6+ | 10198 | 3.8% | |
| R4+ | 4807 | 1.8% | |
| R2 | 2123 | 0.8% | |
| R3- | 1494 | 0.6% | |
| Other values (10) | 3728 | 1.4% | |
| (Missing) | 105971 | 39.8% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 2.986023683 |
| Min length | 2 |
| Distinct | 20 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 105972 |
| Missing (%) | 39.8% |
| Memory size | 2.0 MiB |
| R5+ | |
|---|---|
| R5- | |
| R7+ | |
| R3+ | |
| R6- | |
| Other values (15) |
| Value | Count | Frequency (%) | |
| R5+ | 37930 | 14.3% | |
| R5- | 33013 | 12.4% | |
| R7+ | 26075 | 9.8% | |
| R3+ | 20166 | 7.6% | |
| R6- | 11178 | 4.2% | |
| R4- | 10696 | 4.0% | |
| R6+ | 7834 | 2.9% | |
| R4+ | 5113 | 1.9% | |
| R2 | 2200 | 0.8% | |
| R3- | 1412 | 0.5% | |
| Other values (10) | 4504 | 1.7% | |
| (Missing) | 105972 | 39.8% |
Frequencies of value counts
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Histogram of lengths of the category
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 2.985339712 |
| Min length | 2 |
DATUM
Date
| Distinct | 28 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| Minimum | 2017-04-03 00:00:00 |
|---|---|
| Maximum | 2019-07-01 00:00:00 |
Histogram with fixed size bins (bins=28)
DUE_DATE
Date
| Distinct | 576 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| Minimum | 2017-05-23 00:00:00 |
|---|---|
| Maximum | 2019-04-29 00:00:00 |
Histogram with fixed size bins (bins=50)
GJAHR2
Real number (ℝ≥0)
| Distinct | 6 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2017.503279 |
|---|---|
| Minimum | 2015 |
| Maximum | 2020 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.0 MiB |
Quantile statistics
| Minimum | 2015 |
|---|---|
| 5-th percentile | 2015 |
| Q1 | 2016 |
| median | 2018 |
| Q3 | 2019 |
| 95-th percentile | 2020 |
| Maximum | 2020 |
| Range | 5 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 1.710152484 |
|---|---|
| Coefficient of variation (CV) | 0.0008476578462 |
| Kurtosis | -1.270229236 |
| Mean | 2017.503279 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | -0.004062068041 |
| Sum | 536843500 |
| Variance | 2.924621519 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) | |
| 2020 | 44634 | 16.8% | |
| 2015 | 44576 | 16.8% | |
| 2018 | 44479 | 16.7% | |
| 2019 | 44303 | 16.6% | |
| 2017 | 44185 | 16.6% | |
| 2016 | 43916 | 16.5% |
| Value | Count | Frequency (%) | |
| 2015 | 44576 | 16.8% | |
| 2016 | 43916 | 16.5% | |
| 2017 | 44185 | 16.6% | |
| 2018 | 44479 | 16.7% | |
| 2019 | 44303 | 16.6% |
| Value | Count | Frequency (%) | |
| 2020 | 44634 | 16.8% | |
| 2019 | 44303 | 16.6% | |
| 2018 | 44479 | 16.7% | |
| 2017 | 44185 | 16.6% | |
| 2016 | 43916 | 16.5% |
DOCUMENT_DATE
Date
| Distinct | 576 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| Minimum | 2017-05-23 00:00:00 |
|---|---|
| Maximum | 2019-04-29 00:00:00 |
Histogram with fixed size bins (bins=50)
PAYMENT_DATE
Date
| Distinct | 567 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| Minimum | 2017-10-02 00:00:00 |
|---|---|
| Maximum | 2019-09-24 00:00:00 |
Histogram with fixed size bins (bins=50)
PAYMENT_TIMELINESS
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| 0 | |
|---|---|
| 1 | |
| 2 |
| Value | Count | Frequency (%) | |
| 0 | 182366 | 68.5% | |
| 1 | 50260 | 18.9% | |
| 2 | 33467 | 12.6% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
TIME_DELTA
Real number (ℝ)
| Distinct | 341 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13.86628735 |
|---|---|
| Minimum | -380 |
| Maximum | 573 |
| Zeros | 2574 |
| Zeros (%) | 1.0% |
| Memory size | 2.0 MiB |
Quantile statistics
| Minimum | -380 |
|---|---|
| 5-th percentile | -9 |
| Q1 | 2 |
| median | 13 |
| Q3 | 25 |
| 95-th percentile | 44 |
| Maximum | 573 |
| Range | 953 |
| Interquartile range (IQR) | 23 |
Descriptive statistics
| Standard deviation | 18.85942577 |
|---|---|
| Coefficient of variation (CV) | 1.360091948 |
| Kurtosis | 15.82541056 |
| Mean | 13.86628735 |
| Median Absolute Deviation (MAD) | 11 |
| Skewness | -0.2580093775 |
| Sum | 3689722 |
| Variance | 355.6779404 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| -1 | 11106 | 4.2% | |
| -2 | 10868 | 4.1% | |
| 27 | 9099 | 3.4% | |
| 16 | 8505 | 3.2% | |
| 29 | 8373 | 3.1% | |
| 7 | 8217 | 3.1% | |
| 6 | 8156 | 3.1% | |
| 28 | 8087 | 3.0% | |
| -3 | 7693 | 2.9% | |
| 9 | 7686 | 2.9% | |
| Other values (331) | 178303 | 67.0% |
| Value | Count | Frequency (%) | |
| -380 | 2 | < 0.1% | |
| -294 | 1 | < 0.1% | |
| -280 | 1 | < 0.1% | |
| -270 | 1 | < 0.1% | |
| -269 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 573 | 1 | < 0.1% | |
| 331 | 1 | < 0.1% | |
| 324 | 2 | < 0.1% | |
| 313 | 1 | < 0.1% | |
| 282 | 2 | < 0.1% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.First rows
| MANDT | BUKRS | GJAHR | HKONT | KUNNR | PRCTR | KNA1_LAND1 | KNA1_ORT01 | ZTERM | DUE_DATE_SOURCE | VALUE_EUR | MWSTS | MWST2 | BLART | T003T_LTEXT | TBSLT_LTEXT | MANSP | CTLPC | HISTORICRATING | CURRENTRATING | DATUM | DUE_DATE | GJAHR2 | DOCUMENT_DATE | PAYMENT_DATE | PAYMENT_TIMELINESS | TIME_DELTA | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 310 | 3 | 2018 | 11 | 18724 | 1 | NL | KATWIJK | 63 | ZBD2T | 607 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | NaN | NaN | NaN | 2017-12-01 | 2017-12-23 | 2019 | 2017-12-23 | 2018-01-09 | 1.0 | 22 |
| 1 | 310 | 3 | 2018 | 11 | 19521 | 1 | NL | WARNSVELD | 63 | ZBD2T | 1 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | NaN | NaN | NaN | 2018-01-02 | 2018-01-10 | 2016 | 2018-01-10 | 2018-01-09 | 0.0 | 8 |
| 2 | 310 | 3 | 2018 | 11 | 5420 | 1 | NL | OSS | 63 | ZBD2T | 14 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | NaN | NaN | NaN | 2017-12-01 | 2017-12-27 | 2019 | 2017-12-27 | 2018-01-09 | 1.0 | 26 |
| 3 | 310 | 3 | 2018 | 11 | 18724 | 1 | NL | KATWIJK | 63 | ZBD2T | 50 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | NaN | NaN | NaN | 2018-01-02 | 2018-01-27 | 2016 | 2018-01-27 | 2018-01-09 | 0.0 | 25 |
| 4 | 310 | 3 | 2018 | 11 | 5420 | 1 | NL | OSS | 63 | ZBD2T | 27 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | NaN | NaN | NaN | 2018-01-02 | 2018-01-07 | 2016 | 2018-01-07 | 2018-01-09 | 0.0 | 5 |
| 5 | 310 | 3 | 2018 | 11 | 5420 | 1 | NL | OSS | 63 | ZBD2T | 33 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | NaN | NaN | NaN | 2018-01-02 | 2018-01-07 | 2020 | 2018-01-07 | 2018-01-09 | 0.0 | 5 |
| 6 | 310 | 3 | 2018 | 11 | 5420 | 1 | NL | OSS | 63 | ZBD2T | 12 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | NaN | NaN | NaN | 2018-01-02 | 2018-01-11 | 2020 | 2018-01-11 | 2018-01-09 | 0.0 | 9 |
| 7 | 310 | 3 | 2018 | 11 | 5420 | 1 | NL | OSS | 63 | ZBD2T | 7 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | NaN | NaN | NaN | 2018-01-02 | 2018-01-11 | 2015 | 2018-01-11 | 2018-01-09 | 0.0 | 9 |
| 8 | 310 | 3 | 2018 | 11 | 4818 | 1 | NL | IJSSELSTEIN UT | 77 | ZBD2T | 1 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | NaN | NaN | NaN | 2017-12-01 | 2017-12-17 | 2020 | 2017-12-17 | 2018-01-10 | 1.0 | 16 |
| 9 | 310 | 3 | 2018 | 11 | 12145 | 1 | NL | ZEDDAM | 63 | ZBD2T | 43 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | NaN | NaN | NaN | 2018-02-01 | 2018-01-17 | 2018 | 2018-01-17 | 2018-01-18 | 0.0 | -15 |
Last rows
| MANDT | BUKRS | GJAHR | HKONT | KUNNR | PRCTR | KNA1_LAND1 | KNA1_ORT01 | ZTERM | DUE_DATE_SOURCE | VALUE_EUR | MWSTS | MWST2 | BLART | T003T_LTEXT | TBSLT_LTEXT | MANSP | CTLPC | HISTORICRATING | CURRENTRATING | DATUM | DUE_DATE | GJAHR2 | DOCUMENT_DATE | PAYMENT_DATE | PAYMENT_TIMELINESS | TIME_DELTA | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 266083 | 310 | 4 | 2019 | 1 | 18099 | 34 | NO | OSLO | 29 | ZBD1T | 1 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | 3.0 | R5- | R7+ | 2019-02-01 | 2019-02-15 | 2020 | 2019-02-15 | 2019-02-15 | 0.0 | 14 |
| 266084 | 310 | 4 | 2019 | 1 | 10636 | 34 | NO | OSLO | 29 | ZBD1T | 55 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | 2.0 | R5+ | R7+ | 2019-02-01 | 2019-02-15 | 2018 | 2019-02-15 | 2019-02-15 | 0.0 | 14 |
| 266085 | 310 | 4 | 2019 | 1 | 19348 | 34 | NO | BØ I TELEMARK | 29 | ZBD1T | 43 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | 3.0 | R7+ | R7+ | 2019-02-01 | 2019-02-14 | 2016 | 2019-02-14 | 2019-02-15 | 0.0 | 13 |
| 266086 | 310 | 4 | 2019 | 1 | 22762 | 34 | NO | OSLO | 29 | ZBD1T | 46 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | 3.0 | R7+ | R7+ | 2019-01-02 | 2019-01-18 | 2020 | 2019-01-18 | 2019-02-15 | 1.0 | 16 |
| 266087 | 310 | 4 | 2019 | 1 | 10416 | 34 | NO | SKIEN | 29 | ZBD1T | 25 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | 3.0 | R6+ | R6+ | 2019-02-01 | 2019-02-14 | 2016 | 2019-02-14 | 2019-02-15 | 0.0 | 13 |
| 266088 | 310 | 4 | 2019 | 1 | 10946 | 34 | NO | STANGE | 25 | ZBD1T | 6 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | 3.0 | R4+ | R6+ | 2019-02-01 | 2019-02-13 | 2018 | 2019-02-13 | 2019-02-15 | 0.0 | 12 |
| 266089 | 310 | 4 | 2019 | 1 | 10983 | 34 | NO | PORSGRUNN | 29 | ZBD1T | 6 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | 3.0 | R7+ | R7+ | 2019-02-01 | 2019-02-13 | 2019 | 2019-02-13 | 2019-02-15 | 0.0 | 12 |
| 266090 | 310 | 4 | 2019 | 1 | 22904 | 34 | NO | OSLO | 29 | ZBD1T | 49 | 0.0 | 0.0 | ZF | Partial Bill. SD | Invoice | NaN | 3.0 | R7+ | R7+ | 2019-01-02 | 2019-01-13 | 2019 | 2019-01-13 | 2019-02-15 | 1.0 | 11 |
| 266091 | 310 | 4 | 2019 | 1 | 12221 | 34 | NO | LYSAKER | 25 | ZBD1T | 75 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | 3.0 | R4- | R5- | 2019-02-01 | 2019-01-28 | 2015 | 2019-01-28 | 2019-02-15 | 1.0 | -4 |
| 266092 | 310 | 4 | 2019 | 1 | 10766 | 34 | NO | SANDVIKA | 25 | ZBD1T | 22 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | NaN | 3.0 | R6+ | R6+ | 2019-02-01 | 2019-02-20 | 2017 | 2019-02-20 | 2019-02-15 | 0.0 | 19 |
Most frequent
| MANDT | BUKRS | GJAHR | HKONT | KUNNR | PRCTR | KNA1_LAND1 | KNA1_ORT01 | ZTERM | DUE_DATE_SOURCE | VALUE_EUR | MWSTS | MWST2 | BLART | T003T_LTEXT | TBSLT_LTEXT | MANSP | CTLPC | HISTORICRATING | CURRENTRATING | DATUM | DUE_DATE | GJAHR2 | DOCUMENT_DATE | PAYMENT_DATE | PAYMENT_TIMELINESS | TIME_DELTA | count | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4 | 310 | 0 | 2018 | 5 | 498 | 229 | DK | Kolding | 29 | ZBD1T | 6 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | A | 2.0 | R4- | R4- | 2018-10-01 | 2018-10-19 | 2019 | 2018-10-19 | 2018-10-02 | 0.0 | 18 | 3 |
| 0 | 310 | 0 | 2018 | 5 | 498 | 229 | DK | Kolding | 29 | ZBD1T | 3 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | A | 2.0 | R4- | R4- | 2018-10-01 | 2018-10-19 | 2017 | 2018-10-19 | 2018-10-02 | 0.0 | 18 | 2 |
| 1 | 310 | 0 | 2018 | 5 | 498 | 229 | DK | Kolding | 29 | ZBD1T | 4 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | A | 2.0 | R4- | R4- | 2018-10-01 | 2018-10-19 | 2017 | 2018-10-19 | 2018-10-02 | 0.0 | 18 | 2 |
| 2 | 310 | 0 | 2018 | 5 | 498 | 229 | DK | Kolding | 29 | ZBD1T | 4 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | A | 2.0 | R4- | R4- | 2018-10-01 | 2018-10-19 | 2020 | 2018-10-19 | 2018-10-02 | 0.0 | 18 | 2 |
| 3 | 310 | 0 | 2018 | 5 | 498 | 229 | DK | Kolding | 29 | ZBD1T | 5 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | A | 2.0 | R4- | R4- | 2018-10-01 | 2018-10-19 | 2019 | 2018-10-19 | 2018-10-02 | 0.0 | 18 | 2 |
| 5 | 310 | 0 | 2018 | 5 | 498 | 229 | DK | Kolding | 29 | ZBD1T | 9 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | A | 2.0 | R4- | R4- | 2018-10-01 | 2018-10-19 | 2018 | 2018-10-19 | 2018-10-02 | 0.0 | 18 | 2 |
| 6 | 310 | 0 | 2018 | 5 | 498 | 229 | DK | Kolding | 29 | ZBD1T | 10 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | A | 2.0 | R4- | R4- | 2018-10-01 | 2018-10-19 | 2020 | 2018-10-19 | 2018-10-02 | 0.0 | 18 | 2 |
| 7 | 310 | 0 | 2018 | 5 | 498 | 229 | DK | Kolding | 29 | ZBD1T | 13 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | A | 2.0 | R4- | R4- | 2018-10-01 | 2018-10-19 | 2018 | 2018-10-19 | 2018-10-02 | 0.0 | 18 | 2 |
| 8 | 310 | 0 | 2019 | 1 | 498 | 229 | DK | Kolding | 29 | ZBD1T | 1 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | A | 2.0 | R4- | R4- | 2019-04-01 | 2019-04-19 | 2018 | 2019-04-19 | 2019-04-16 | 0.0 | 18 | 2 |
| 9 | 310 | 0 | 2019 | 1 | 498 | 229 | DK | Kolding | 29 | ZBD1T | 3 | 0.0 | 0.0 | RV | Billing doc.transfer | Invoice | A | 2.0 | R4- | R4- | 2019-04-01 | 2019-04-19 | 2015 | 2019-04-19 | 2019-04-16 | 0.0 | 18 | 2 |